112 citations
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21 papers
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas, Elliot A. Ludvig, Cagatay Turkay
Reinforcement Learning (RL) has experienced significant advancement over the past decade, prompting a growing interest in applications within finance. This survey critically evalua…
ClimateIQA: A New Dataset and Benchmark to Advance Vision-Language Models in Meteorology Anomalies Analysis
Jian Chen, Peilin Zhou, Yining Hua +7
Meteorological heatmaps play a vital role in deciphering extreme weather phenomena, yet their inherent complexities marked by irregular contours, unstructured patterns, and complex…
FinTextQA: A Dataset for Long-form Financial Question Answering
Jian Chen, Peilin Zhou, Yining Hua +5
Accurate evaluation of financial question answering (QA) systems necessitates a comprehensive dataset encompassing diverse question types and contexts. However, current financial Q…
Parallel variational quantum algorithms with gradient-informed restart to speed up optimisation in the presence of barren plateaus
Daniel Mastropietro, Georgios Korpas, Vyacheslav Kungurtsev +1
Inspired by the Fleming-Viot stochastic process, we propose a parallel implementation of variational quantum algorithms with the aim of reducing the time spent by the algorithm in…
Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature
Walter Hernandez Cruz, Kamil Tylinski, Alastair Moore +6
Distributed Ledger Technology (DLT) faces increasing environmental scrutiny, particularly concerning the energy consumption of the Proof of Work (PoW) consensus mechanism and broad…
Approaching Collateral Optimization for NISQ and Quantum-Inspired Computing
Megan Giron, Georgios Korpas, Waqas Parvaiz +2
Collateral optimization refers to the systematic allocation of financial assets to satisfy obligations or secure transactions, while simultaneously minimizing costs and optimizing…